The 2025 state of AI Development
The 2025 State of AI Development is a comprehensive industry report based on a survey of 1,250+ AI developers that reveals key trends, challenges, and predictions for AI development, highlighting a significant shift towards AI tooling and agentic workflows in 2025.
https://www.vellum.ai/state-of-ai-2025?ref=aipure
Product Information
Updated:Feb 16, 2025
The 2025 state of AI Development Monthly Traffic Trends
The 2025 state of AI Development report achieved a 18.4% increase in visits, reflecting growing interest in agentic AI workflows. The report highlights that 55% of developers are planning to build complex agentic workflows in 2025, which likely contributed to the traffic increase.
What is The 2025 state of AI Development
The 2025 State of AI Development is a detailed research report produced by Vellum that analyzes the current and future state of artificial intelligence development across industries. Based on responses from over 1,250 AI developers and builders, the report provides valuable insights into AI adoption rates, development challenges, and emerging trends. The study covers various aspects including AI application types, modalities, tooling preferences, evaluation methods, and future development plans, offering a holistic view of how organizations are implementing and scaling AI solutions.
Key Features of The 2025 state of AI Development
The 2025 state of AI Development represents a significant shift from theoretical AI to practical implementation, with 25.1% of businesses deploying AI applications into production. The landscape emphasizes increased focus on AI tooling, evaluation frameworks, and collaborative development processes, while addressing challenges like hallucinations and model reliability. The trend shows movement toward more customer-facing applications and complex agentic workflows, with particular emphasis on document parsing, customer service, and analytics applications.
Enhanced AI Tooling: More sophisticated development platforms and frameworks emerging to handle complex AI systems, evaluation, and monitoring capabilities
Multi-modal Integration: Support for various data types including text, images, audio, and video, with text and file processing leading at 62.1% adoption
Collaborative Development: Integration of multiple stakeholders including engineers, product teams, and subject matter experts in the AI development process
Agentic Workflows: Advanced AI systems capable of making autonomous decisions and completing complex tasks with minimal human intervention
Use Cases of The 2025 state of AI Development
Document Processing and Analysis: Automated parsing and analysis of documents, PDFs, and various text formats for improved efficiency in data extraction
Customer Service Automation: AI-powered chatbots and support systems with enhanced reliability and structured outputs for better customer interactions
Natural Language Analytics: Advanced analytics capabilities using natural language processing for improved data analysis and insights generation
Code Generation and Automation: AI-assisted development tools for automated code generation and software development processes
Pros
Significant cost and time savings for businesses
Improved competitive advantage through AI integration
Enhanced productivity through automation and AI assistance
Cons
Ongoing challenges with AI hallucinations and reliability
Technical expertise requirements and learning curve
Limited measurable impact in early stages of implementation
How to Use The 2025 state of AI Development
Take the State of AI Development Survey: Participate in Vellum's 4-minute survey to contribute to the research and get a chance to win a MacBook M4 Pro
Review Current AI Development Status: Analyze where your organization stands in the AI development process (pre-building, PoC stage, beta testing, or production)
Identify Suitable AI Applications: Choose appropriate AI applications based on your needs from top use cases like document parsing, customer service chatbots, analytics with natural language, or code generation
Select AI Modalities: Determine which modalities (text, images, audio, video) your application will use based on your requirements
Choose API Providers: Select from leading providers like OpenAI, Azure, Anthropic, or Bedrock based on your company size and needs
Implement Development Tools: Choose between third-party AI dev platforms, internal tooling, or frameworks for development
Set Up Evaluation Methods: Establish evaluation processes using manual testing, automated tools, or third-party platforms to ensure AI system quality
Configure Monitoring Systems: Implement monitoring solutions (in-house, third-party, or cloud provider services) for production AI models
Build Team Collaboration: Include key stakeholders like engineers, product teams, SMEs, and leadership in the development process
Plan for 2025 Implementation: Prepare strategies for customer-facing use cases, complex agentic workflows, and internal AI development based on the report's future predictions
The 2025 state of AI Development FAQs
25.1% of businesses have deployed AI applications (both internal and external) into production, with 23% of small companies and 29% of large companies in production.
Analytics of The 2025 state of AI Development Website
The 2025 state of AI Development Traffic & Rankings
274.3K
Monthly Visits
#188502
Global Rank
#3006
Category Rank
Traffic Trends: Jun 2024-Jan 2025
The 2025 state of AI Development User Insights
00:01:11
Avg. Visit Duration
2.2
Pages Per Visit
62.18%
User Bounce Rate
Top Regions of The 2025 state of AI Development
US: 26.84%
GB: 6.07%
IN: 5.68%
CA: 5.21%
DE: 3.8%
Others: 52.38%
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